Solutions

Advanced Analytics

Leverage the power of analytics to unify customer and operational intelligence enabling smarter decisions, stronger engagement, and sustainable growth across every touchpoint.

What We Offer

The growing complexity of customer interactions, combined with constant shifts in pricing, product portfolios, marketing initiatives, and packaging strategies, generates vast amounts of behavioral, transactional, and marketing data. Benori’s Analytics solutions help organizations with customer segmentation, churn prediction, lifecycle management, marketing acceleration, and pricing refinement by transforming data into actionable insights that drive smarter decisions, sustainable growth and more.

Customer Segmentation & Value Intelligence

Identify high-value, at-risk, and opportunity segments using behavioral, transactional, and lifecycle data to drive targeted engagement and smarter investments.

Customer Lifecycle Management

CX enhancement through end-to-end customer journey analysis, uncovering friction points, and analyzing online-to-offline behavior to improve satisfaction, conversions, and retention.

Retention, Churn & Growth Analytics

Predict churn drivers, identify retention levers, and design strategies to increase frequency, basket size, and customer lifetime value.

Social Media & Marketing Analytics

Sentiment analysis, consumer preferences, and campaign performance tracking to benchmark brand perception, optimize messaging, and identify whitespace opportunities.

Pricing & Product Analytics

Data‑driven pricing, promotion, and product mix optimization to sharpen competitive positioning, guide assortment decisions, and support innovation decisions.

Impact Stories

Our work speaks through results. From market entry strategies to competitive turnarounds, these stories showcase how our intelligence has powered real-world outcomes for global leaders.

Conducting Sentiment Analysis for Benchmarking Competitors

Objective and Scope:

The client, a consulting and advisory firm, wanted to assess brand perception and customer satisfaction and conduct a comparative benchmarking analysis of three companies. For this, it sought Benori's support in:  Analyzing customer feedback, reviews, and ratings to identify key pain points and positive experiences Comparing customer perceptions across the selected companies to understand relative strengths and weaknesses Identifying opportunities for service enhancements and competitive differentiation

Approach:

Benori employed web scraping to collect customer feedback from platforms such as review sites and travel forums. Used GenAI capabilities, including LLMs, to analyze sentiment across the entire customer journey, from bookings to room services. Iterative prompt engineering was applied to refine sentiment classification into positive, negative, or neutral.

Impact:

The study enabled the client to Benchmark brand perception across three companies to understand competitive positioning Develop data-driven strategies to boost customer satisfaction and loyalty Enhance communication and marketing initiatives using sentiment trends and feedback analysis

Predicting and Preventing Customer Churn through Machine Learning Analytics

Objective and Scope:

The client, an e-commerce retailer, sought to develop a predictive analytics framework to identify customers at high risk of churn. The engagement aimed to support strategic decision-making through: Identify at-risk customer segments using machine learning models to predict churn likelihood across customer cohorts, with focus on behavioral patterns and engagement metrics Quantify churn drivers and patterns across customer acquisition channels, subscription plans, feature adoption, and support interactions to enable targeted intervention strategies

Approach:

Benori combined automated data extraction from CRM systems and transaction logs with advanced machine learning to identify and rank churn predictors. Custom Python scripts were developed to aggregate customer behavioral signals (usage frequency, support interactions, payment delays) and engineer predictive features. Leveraging gradient boosting and ensemble modeling techniques, Benori trained multiple models to classify churn probability, cross-validated results with business rules, and created a structured dataset ready for real-time churn scoring and dashboard deployment.

Impact:

The study enabled the client to: Achieve early churn detection by assigning propensity scores to every active customer, enabling the commercial team to prioritize at-risk accounts for targeted retention campaigns Enable data-driven retention strategies through identification of key behavioral signals and root cause analysis, allowing to proactively address pain points

Benchmarking Healthcare Treatment Pricing Across Competitors

Objective and Scope:

The client, a global healthcare provider, wanted to track the pricing for a variety of treatments offered by its competitors across its clinic locations across the country. For this, it sought Benori’s support in: Creating a list of competitors, located in the vicinity of its ~400 locations, and map the largest competitors based on their reviews and services Conducting secondary and primary research on selected competitors (~2000) to understand the price points of the treatments specified

Approach:

Benori mapped clinic locations by automating the extraction of geospatial data from digital maps, followed by scanning competitor websites using web intelligence workflows to capture procedure-specific pricing. Large Language Models (LLMs) were applied to extract predefined treatment fees, while primary research addressed missing or unclear data points. The collected information was standardized into a unified dataset for like-for-like comparisons and to develop a benchmarking dashboard highlighting key pricing trends across clinics.

Impact:

Gain an understanding of the treatment timelines, delivery formats, and payment terms of the competitors Conduct a pricing analysis of competitors across the selected dental clinic locations to strategize business development

Contact Us

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